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ORCIDMartyna Plomecka
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2020 – today
- 2026
[i9]Sarah Martinson, Michael P. Brenner, Martyna Plomecka, Brian P. Williams, Nicholas G. Reich, Zahra Shamsi:
Prospective multi-pathogen disease forecasting using autonomous LLM-guided tree search. CoRR abs/2605.16238 (2026)- 2025
- [c8]Hao Cui, Zahra Shamsi, Gowoon Cheon, Xuejian Ma, Shutong Li, Maria Tikhanovskaya, Peter Christian Norgaard, Nayantara Mudur, Martyna Beata Plomecka, Paul Raccuglia, Yasaman Bahri, Victor V. Albert, Pranesh Srinivasan, Haining Pan, Philippe Faist, Brian Rohr, Michael J. Statt, Dan Morris, Drew Purves, Elise Kleeman, et al.:
CURIE: Evaluating LLMs on Multitask Scientific Long-Context Understanding and Reasoning. ICLR 2025 - [i8]Hao Cui, Zahra Shamsi, Gowoon Cheon, Xuejian Ma, Shutong Li, Maria Tikhanovskaya, Peter C. Norgaard, Nayantara Mudur, Martyna Plomecka, Paul Raccuglia, Yasaman Bahri, Victor V. Albert
, Pranesh Srinivasan, Haining Pan, Philippe Faist, Brian Rohr, Michael J. Statt, Dan Morris, Drew Purves, Elise Kleeman, Ruth Alcantara, Matthew Abraham, Muqthar Mohammad, Ean Phing VanLee, Chenfei Jiang, Elizabeth Dorfman, Eun-Ah Kim, Michael P. Brenner, Viren Jain, Sameera S. Ponda, Subhashini Venugopalan:
CURIE: Evaluating LLMs On Multitask Scientific Long Context Understanding and Reasoning. CoRR abs/2503.13517 (2025) - [i7]Eser Aygün, Anastasiya Belyaeva, Gheorghe Comanici, Marc Coram, Hao Cui, Jake Garrison, Renee Johnston, Anton Kast, Cory Y. McLean, Peter C. Norgaard, Zahra Shamsi, David Smalling, James Thompson, Subhashini Venugopalan, Brian P. Williams, Chujun He, Sarah Martinson, Martyna Plomecka, Lai Wei, Yuchen Zhou, Qian-Ze Zhu, Matthew Abraham, Erica Brand, Anna Bulanova, Jeffrey A. Cardille, Chris Co, Scott Ellsworth, Grace Joseph, Malcolm Kane, Ryan Krueger, Johan Kartiwa, Daniel J. Liebling, Jan-Matthis Lueckmann, Paul Raccuglia, Xuefei Wang, Katherine Chou, James Manyika, Yossi Matias, John C. Platt, Lizzie Dorfman, Shibl Mourad, Michael P. Brenner:
An AI system to help scientists write expert-level empirical software. CoRR abs/2509.06503 (2025) - [i6]Qiyu Liao, Dadong Wang, Rebecca Haling, Jiajun Liu, Xun Li, Martyna Plomecka, Andrew Robson, Matthew Pringle, Rhys Pirie, Megan Walker, Joshua Whelan:
Estimating Pasture Biomass from Top-View Images: A Dataset for Precision Agriculture. CoRR abs/2510.22916 (2025) - 2023
- [c7]Sean Anthony Byrne, Nora Castner, Ard Kastrati, Martyna Beata Plomecka, William Schaefer, Enkelejda Kasneci, Zoya Bylinskii:
Leveraging Eye Tracking in Digital Classrooms: A Step Towards Multimodal Model for Learning Assistance. ETRA 2023: 80:1-80:6 - [c6]Nina Weng, Martyna Plomecka, Manuel Kaufmann, Ard Kastrati, Roger Wattenhofer, Nicolas Langer:
An Interpretable and Attention-Based Method for Gaze Estimation Using Electroencephalography. MICCAI (2) 2023: 734-743 - [i5]Ard Kastrati, Martyna Beata Plomecka, Joël Küchler, Nicolas Langer, Roger Wattenhofer:
Electrode Clustering and Bandpass Analysis of EEG Data for Gaze Estimation. CoRR abs/2302.12710 (2023) - [i4]Nina Weng, Martyna Plomecka, Manuel Kaufmann, Ard Kastrati, Roger Wattenhofer, Nicolas Langer:
An Interpretable and Attention-based Method for Gaze Estimation Using Electroencephalography. CoRR abs/2308.05768 (2023) - 2022
- [j2]Nicolas Langer, Martyna Beata Plomecka, Marius Tröndle, Anuja Negi, Tzvetan Popov, Michael P. Milham, Stefan Haufe:
A benchmark for prediction of psychiatric multimorbidity from resting EEG data in a large pediatric sample. NeuroImage 258: 119348 (2022) - [c5]Nora Castner, Bela Umlauf, Ard Kastrati, Martyna Beata Plomecka, William Schaefer, Enkelejda Kasneci, Zoya Bylinskii:
A gaze-based study design to explore how competency evolves during a photo manipulation task. ETRA 2022: 37:1-37:3 - [c4]Ard Kastrati, Martyna Beata Plomecka, Joël Küchler, Nicolas Langer, Roger Wattenhofer:
Electrode Clustering and Bandpass Analysis of EEG Data for Gaze Estimation. Gaze Meets ML 2022: 50-65 - [c3]Lukas Wolf, Ard Kastrati, Martyna Beata Plomecka, Jie-Ming Li, Dustin Klebe, Alexander Veicht, Roger Wattenhofer, Nicolas Langer:
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications. ICML 2022: 23912-23932 - [i3]Lukas Wolf, Ard Kastrati, Martyna Beata Plomecka, Jie-Ming Li, Dustin Klebe, Alexander Veicht, Roger Wattenhofer, Nicolas Langer:
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications. CoRR abs/2206.08672 (2022) - 2021
- [c2]Ard Kastrati, Martyna Plomecka, Roger Wattenhofer, Nicolas Langer:
Using Deep Learning to Classify Saccade Direction from Brain Activity. ETRA Short Papers 2021: 28:1-28:6 - [c1]Ard Kastrati, Martyna Plomecka, Damian Pascual, Lukas Wolf, Victor Gillioz, Roger Wattenhofer, Nicolas Langer:
EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction. NeurIPS Datasets and Benchmarks 2021 - [i2]Ard Kastrati, Martyna Beata Plomecka, Damián Pascual, Lukas Wolf, Victor Gillioz, Roger Wattenhofer, Nicolas Langer:
EEGEyeNet: a Simultaneous Electroencephalography and Eye-tracking Dataset and Benchmark for Eye Movement Prediction. CoRR abs/2111.05100 (2021) - [i1]Nora Hollenstein, Marius Tröndle, Martyna Plomecka, Samuel Kiegeland, Yilmazcan Özyurt, Lena A. Jäger, Nicolas Langer:
Reading Task Classification Using EEG and Eye-Tracking Data. CoRR abs/2112.06310 (2021)
2010 – 2019
- 2017
- [j1]Urszula Forys, Natalia Z. Bielczyk, Katarzyna Piskala, Martyna Plomecka, Jan Poleszczuk:
Impact of Time Delay in Perceptual Decision-Making: Neuronal Population Modeling Approach. Complex. 2017: 4391587:1-4391587:14 (2017)
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